conftrace_

posterior uncertainty

9 papers

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Co-occurring keywords

variational inference (2069) bayesian neural network (201) model compression (3302) neural time series (2) composite kernel (2) recurrent switching (1) cost-sensitive decision (1) posterior prediction (3) sparsity inducing prior (1) weight uncertainty (8)

Papers

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
Active multi-fidelity Bayesian online changepoint detection UAI 2021
Variational Bayesian Quantization ICML 2020
Thompson Sampling via Local Uncertainty ICML 2020
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018
A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018
Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017
Bayesian Compression for Deep Learning NIPS 2017